[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100519483":3},{"organization":4,"armGroups":7,"interventions":13,"overallOfficials":10,"centralContacts":19,"locations":25,"responsibleParty":39,"collaborators":10,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":45,"acronym":10,"eligibilityCriteria":46,"healthyVolunteers":47,"sex":48,"minAge":49,"maxAge":50,"enrollmentInfo":51,"targetDuration":10,"studyType":54,"phases":10,"briefSummary":55,"conditions":56,"keywords":10,"overallStatus":58,"whyStopped":10,"lastUpdateSubmitDate":59,"lastUpdatePostDateStruct":60,"startDateStruct":63,"completionDateStruct":65,"leadSponsor":67,"locationsCount":68},{"fullName":5,"class":6},"Second Affiliated Hospital of Wenzhou Medical University","OTHER",[8],{"label":9,"type":10,"description":10,"interventionNames":11},"Vaginal trial labor group",null,[12],"Device: Mri scan of fetal head and pelvis",[14],{"type":15,"name":16,"description":17,"armGroupLabels":18,"otherNames":10},"DEVICE","Mri scan of fetal head and pelvis","The pelvic parameters and fetal head parameters of pregnant women were measured by MRI, including pelvic entrance plane, middle pelvic plane, pelvic outlet plane, pubic arch Angle, double parietal diameter, occipitofrontal diameter, and suboccipital fontanel diameter.",[9],[20],{"name":21,"role":22,"phone":23,"phoneExt":23,"email":24},"Ying Hua","CONTACT","+8613676403165","wzfeyhy1015@126.com",[26],{"facility":27,"status":10,"city":28,"state":29,"zip":30,"country":31,"countryCode":32,"cosmosGeoPoint":33,"geoPoint":38,"contacts":10},"department of obstetrics of Second Affiliated Hospital of Wenzhou Medical University","Wenzhou","Zhejiang","325027","China","CN",{"type":34,"coordinates":35},"Point",[36,37],120.66682,27.99942,{"lat":37,"lon":36},{"type":40,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100519483","a-novel-approach-integrating-magnetic-resonance-imaging-mri-data-and-artificial-intelligence-for-predicting-the-success-rate-of-vaginal-delivery-in-pregnant-women-100519483",false,"NCT06044129","A Novel Approach Integrating Magnetic Resonance Imaging (MRI) Data and Artificial Intelligence for Predicting the Success Rate of Vaginal Delivery in Pregnant Women","Inclusion Criteria:\n\n* Full-term.\n* Single fetus, head first.\n* Pregnant women have vaginal couvade wishes.\n* Complete clinical data of pregnant women.\n\nExclusion Criteria:\n\n* Pregnancy with serious medical and surgical diseases.\n* Abnormal fetal position (such as transverse, breech, etc.).\n* Twin or multiple pregnancies.\n* Vaginal couvade contraindications such as placenta previa.",true,"FEMALE","18 Years","35 Years",{"count":52,"type":53},200,"ESTIMATED","OBSERVATIONAL","The aim of this study was to use MRI imaging to accurately scan the pregnant woman's pelvis and fetal skull, build a 3D model of them, and combine with artificial intelligence to develop an accurate tool to predict the success rate of vaginal delivery.",[57],"Vaginal Delivery","NOT_YET_RECRUITING","2023-09-12",{"date":61,"type":62},"2023-09-21","ACTUAL",{"date":64,"type":53},"2024-01-01",{"date":66,"type":53},"2026-12-31",{"name":5,"class":6},1]